A novel method for power quality multiple disturbance decomposition based on Independent Component Analysis

► We propose a method to decompose a power system signal into its isolated disturbances. ► We use Independent Component Analysis to separate disturbances occurring at same time. ► The method allows the decomposition when only a single measured signal is available. ► The performance is compared with...

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Published in:	International journal of electrical power & energy systems Vol. 42; no. 1; pp. 593 - 604
Main Authors:	Lima, Marcelo A.A., Cerqueira, Augusto S., Coury, Denis V., Duque, Carlos A.
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.11.2012 Elsevier
Subjects:	Applied sciences Blind Source Separation (BSS) Channels Decomposition Decoupling Disturbances Electric power generation Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Independent component analysis Independent Component Analysis (ICA) Miscellaneous Multiple disturbance Operation. Load control. Reliability Power electronics, power supplies Power networks and lines Power quality Preprocessing Single-channel signal analysis Voltage Blind Source Separation (BSS) Power quality Single-channel signal analysis Independent Component Analysis (ICA) Multiple disturbance Performance evaluation Parameter estimation Source separation Independent component analysis Power electronics Discrete wavelet transforms Blind separation Decoupling Electrical network Signal processing Filter bank Energy quality Signal analysis Service quality Comparative study
ISSN:	0142-0615, 1879-3517
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Abstract	► We propose a method to decompose a power system signal into its isolated disturbances. ► We use Independent Component Analysis to separate disturbances occurring at same time. ► The method allows the decomposition when only a single measured signal is available. ► The performance is compared with that resulting from the Discrete Wavelet Transform. In this paper, a novel method for power quality signal decomposition is proposed based on Independent Component Analysis (ICA). This method aims to decompose the power system signal (voltage or current) into components that can provide more specific information about the different disturbances which are occurring simultaneously during a multiple disturbance situation. The ICA is originally a multichannel technique. However, the method proposes its use to blindly separate out disturbances existing in a single measured signal (single channel). Therefore, a preprocessing step for the ICA is proposed using a filter bank. The proposed method was applied to synthetic data, simulated data, as well as actual power system signals, showing a very good performance. A comparison with the decomposition provided by the Discrete Wavelet Transform shows that the proposed method presented better decoupling for the analyzed data.
AbstractList	In this paper, a novel method for power quality signal decomposition is proposed based on Independent Component Analysis (ICA). This method aims to decompose the power system signal (voltage or current) into components that can provide more specific information about the different disturbances which are occurring simultaneously during a multiple disturbance situation. The ICA is originally a multichannel technique. However, the method proposes its use to blindly separate out disturbances existing in a single measured signal (single channel). Therefore, a preprocessing step for the ICA is proposed using a filter bank. The proposed method was applied to synthetic data, simulated data, as well as actual power system signals, showing a very good performance. A comparison with the decomposition provided by the Discrete Wavelet Transform shows that the proposed method presented better decoupling for the analyzed data. ► We propose a method to decompose a power system signal into its isolated disturbances. ► We use Independent Component Analysis to separate disturbances occurring at same time. ► The method allows the decomposition when only a single measured signal is available. ► The performance is compared with that resulting from the Discrete Wavelet Transform. In this paper, a novel method for power quality signal decomposition is proposed based on Independent Component Analysis (ICA). This method aims to decompose the power system signal (voltage or current) into components that can provide more specific information about the different disturbances which are occurring simultaneously during a multiple disturbance situation. The ICA is originally a multichannel technique. However, the method proposes its use to blindly separate out disturbances existing in a single measured signal (single channel). Therefore, a preprocessing step for the ICA is proposed using a filter bank. The proposed method was applied to synthetic data, simulated data, as well as actual power system signals, showing a very good performance. A comparison with the decomposition provided by the Discrete Wavelet Transform shows that the proposed method presented better decoupling for the analyzed data.
Author	Lima, Marcelo A.A. Duque, Carlos A. Coury, Denis V. Cerqueira, Augusto S.
Author_xml	– sequence: 1 givenname: Marcelo A.A. surname: Lima fullname: Lima, Marcelo A.A. email: marcelolima10@yahoo.com.br organization: Department of Electrical Engineering, Engineering School of São Carlos, University of São Paulo, São Carlos, SP, Brazil – sequence: 2 givenname: Augusto S. surname: Cerqueira fullname: Cerqueira, Augusto S. organization: Department of Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil – sequence: 3 givenname: Denis V. surname: Coury fullname: Coury, Denis V. organization: Department of Electrical Engineering, Engineering School of São Carlos, University of São Paulo, São Carlos, SP, Brazil – sequence: 4 givenname: Carlos A. surname: Duque fullname: Duque, Carlos A. organization: Department of Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil
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Keywords	Blind Source Separation (BSS) Power quality Single-channel signal analysis Independent Component Analysis (ICA) Multiple disturbance Performance evaluation Parameter estimation Source separation Independent component analysis Power electronics Discrete wavelet transforms Blind separation Decoupling Electrical network Signal processing Filter bank Energy quality Signal analysis Service quality Comparative study
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Snippet	► We propose a method to decompose a power system signal into its isolated disturbances. ► We use Independent Component Analysis to separate disturbances... In this paper, a novel method for power quality signal decomposition is proposed based on Independent Component Analysis (ICA). This method aims to decompose...
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SubjectTerms	Applied sciences Blind Source Separation (BSS) Channels Decomposition Decoupling Disturbances Electric power generation Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Independent component analysis Independent Component Analysis (ICA) Miscellaneous Multiple disturbance Operation. Load control. Reliability Power electronics, power supplies Power networks and lines Power quality Preprocessing Single-channel signal analysis Voltage
Title	A novel method for power quality multiple disturbance decomposition based on Independent Component Analysis
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